ICOS

FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2012

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11676/TQlIlSWy3cfm17K3xJkqMCNN (link)
X-BASE NEE (Net Ecosystem Exchange) is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm.
2012-01-01 12:00:00
2012-12-01 12:00:00
monthly
Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2012, Miscellaneous, https://hdl.handle.net/11676/TQlIlSWy3cfm17K3xJkqMCNN
BibTex
@misc{https://hdl.handle.net/11676/TQlIlSWy3cfm17K3xJkqMCNN,
  author={Gans, Fabian and Duveiller, Gregory and Hamdi, Zayd and Jung, Martin and Kraft, Basil and Nelson, Jacob A. and Walther, Sophia and Weber, Ulrich and Zhang, Weijie},
  title={FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2012},
  year={2023},
  note={X-BASE NEE (Net Ecosystem Exchange) is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm.},
  keywords={BIOGEOCHEMICAL CYCLES, ECOSYSTEM FUNCTIONS, TERRESTRIAL ECOSYSTEMS, VEGETATION, CARBON, LAND SURFACE, FLUXCOM},
  url={https://hdl.handle.net/11676/TQlIlSWy3cfm17K3xJkqMCNN},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/TQlIlSWy3cfm17K3xJkqMCNN}
}
RIS
TY - DATA
T1 - FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2012
ID - 11676/TQlIlSWy3cfm17K3xJkqMCNN
PY - 2023
AB - X-BASE NEE (Net Ecosystem Exchange) is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm.
UR - https://hdl.handle.net/11676/TQlIlSWy3cfm17K3xJkqMCNN
PB - Carbon Portal
AU - Gans, Fabian
AU - Duveiller, Gregory
AU - Hamdi, Zayd
AU - Jung, Martin
AU - Kraft, Basil
AU - Nelson, Jacob A.
AU - Walther, Sophia
AU - Weber, Ulrich
AU - Zhang, Weijie
KW - BIOGEOCHEMICAL CYCLES
KW - ECOSYSTEM FUNCTIONS
KW - TERRESTRIAL ECOSYSTEMS
KW - VEGETATION
KW - CARBON
KW - LAND SURFACE
KW - FLUXCOM
ER - 
NEE_2012_005_monthly.nc
428 MB (448590873 bytes)
3

Production

2023-06-21 00:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
NEE net ecosystem exchange of carbon gC m-2 d-1 particle flux Preview

Statistics

0
0

Submission

2023-07-25 12:00:57
2023-07-25 11:53:24

Technical information

4d09489525b2ddc7e6d7b2b7c4992a30234d1ec16538069718865860b7d781a9
TQlIlSWy3cfm17K3xJkqMCNNHsFlOAaXGIZYYLfXgak
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES CARBON ECOSYSTEM FUNCTIONS FLUXCOM LAND SURFACE TERRESTRIAL ECOSYSTEMS VEGETATION biosphere modeling carbon flux